How Storylane Scaled Outbound with Luru AI SDR

The Challenges

1. Scaling outbound efficiently without compromising personalization and engagement.
2. Maintaining a predictable pipeline across geographies and ICPs
3. Running rapid experiments on new segments, messaging, and outreach tactics, while quickly acting on insights.

We constantly iterate on GTM experiments, but scaling the ones that work. We wanted to get our Outbound to work at scale

Nalin Sethamil

Co-founder, Storylane

The Solutions

1. AI-powered Cold Outbound at Scale
   - AI SDR automated multi-channel outreach while keeping personalization intact.
   - SDRs could engage at scale, across geographies and personas, without losing the human touch.
   
2. Revival of Old Leads
   - AI SDR automatically identified and nurtured dormant leads.
   - Real-time triggers helped SDRs engage past prospects at the right moment.
3. Website Intent to Leads
   - High-intent visitors were converted into leads through AI-driven segmentation and automated follow-ups.
   - Personalized outreach based on website activity

Where Luru stood out was in their speed, intelligent personalization, and ability to scale. We could experiment fast, personalize outreach at scale, and ensure a consistent lead flow. We currently run 80% of our outbound on Luru

Nalin Sethamil

Co-founder, Storylane

The Results

1. A Repeatable, Scalable Outbound Motion
   AI SDR helped Storylane build a structured, predictable outbound system.
2. Consistent Lead Flow
   Pipeline predictability improved, ensuring a steady flow of high-quality leads.
3. Quick Experimentation & Agile Decision-Making
   - Ability to test geographies, ICPs, and messaging rapidly.
   - Ability to adjust and scale successful strategies instantly.